Application of Digital Twin of Robot Cell in Investment Casting Manufacturing
2024 (English)In: Procedia CIRP, Elsevier, 2024, p. 730-735Conference paper, Published paper (Refereed)
Abstract [en]
Digital transformation in manufacturing processes such as the ones used in investment casting empowers organizations to simulate, monitor, and enhance simulations, paving the way for factory automation. This paper explores the impact of digitalization on an industrial Robot Cell environment that is used for constructing ceramic casings to create investment casting products. The application of Digital Twin technology into a physical production Robot Cell is presented. Emphasis is given to the relevant technical aspects of creating the virtual space with 3D scanning technology, establishing the Digital Twin system, and simulating the robot path for adaptation to the new requirements. The Digital Twin enables offline simulation and modeling, allowing adaptability, limiting production disruptions for manual changes, and ensuring the safety of testing, while enabling digital access to the Robot Cell's operational system. This work demonstrates how a Digital Twin for an industrial robot can improve the investment casting process by allowing for virtual tests and the flexibility to adapt to new items with previously unseen geometries.
Place, publisher, year, edition, pages
Elsevier, 2024. p. 730-735
Series
Procedia CIRP, ISSN 22128271
Keywords [en]
Digital Twins, Industrial Robot Cell, Investment Casting, Manufacturing Adaptability, Investments, Smart manufacturing, Cell-be, Cell/B.E, Cell/BE, Ceramic casing, Digital transformation, Manufacturing process, Robot cells, Technical aspects, Industrial robots
National Category
Production Engineering, Human Work Science and Ergonomics
Identifiers
URN: urn:nbn:se:mdh:diva-69835DOI: 10.1016/j.procir.2024.10.156Scopus ID: 2-s2.0-85213004548OAI: oai:DiVA.org:mdh-69835DiVA, id: diva2:1930846
Conference
57th CIRP Conference on Manufacturing Systems 2024, CMS 2024, Povoa de Varzim, Portugal, 29-31 May, 2024
2025-01-242025-01-242025-11-03Bibliographically approved